{"id":"https://openalex.org/W4400233404","doi":"https://doi.org/10.1109/iscas58744.2024.10557906","title":"A Multi-Stride Convolution Acceleration Algorithm for CNNs","display_name":"A Multi-Stride Convolution Acceleration Algorithm for CNNs","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400233404","doi":"https://doi.org/10.1109/iscas58744.2024.10557906"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10557906","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10557906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045660343","display_name":"Anaam Ansari","orcid":"https://orcid.org/0000-0002-4081-1225"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anaam Ansari","raw_affiliation_strings":["Santa Clara University,Department of Electrical and Computer Engineering,Santa Clara,CA,USA,95053"],"affiliations":[{"raw_affiliation_string":"Santa Clara University,Department of Electrical and Computer Engineering,Santa Clara,CA,USA,95053","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025538938","display_name":"Tokunbo Ogunfunmi","orcid":"https://orcid.org/0000-0003-3517-9779"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tokunbo Ogunfunmi","raw_affiliation_strings":["Santa Clara University,Department of Electrical and Computer Engineering,Santa Clara,CA,USA,95053"],"affiliations":[{"raw_affiliation_string":"Santa Clara University,Department of Electrical and Computer Engineering,Santa Clara,CA,USA,95053","institution_ids":["https://openalex.org/I16269868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045660343"],"corresponding_institution_ids":["https://openalex.org/I16269868"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07753326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8381999731063843,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8381999731063843,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.8493372201919556},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7403795719146729},{"id":"https://openalex.org/keywords/stride","display_name":"STRIDE","score":0.7203311920166016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6919199228286743},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5306039452552795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3290080428123474},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10481390357017517},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09959959983825684},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06390923261642456}],"concepts":[{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.8493372201919556},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7403795719146729},{"id":"https://openalex.org/C18007350","wikidata":"https://www.wikidata.org/wiki/Q7394815","display_name":"STRIDE","level":2,"score":0.7203311920166016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6919199228286743},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5306039452552795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3290080428123474},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10481390357017517},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09959959983825684},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06390923261642456},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10557906","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10557906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2036054070","https://openalex.org/W2194775991","https://openalex.org/W2775127214","https://openalex.org/W2946334728","https://openalex.org/W2972561355","https://openalex.org/W2999905431","https://openalex.org/W3000160544","https://openalex.org/W3018618942","https://openalex.org/W3091546705","https://openalex.org/W3177525997","https://openalex.org/W4205884968","https://openalex.org/W4210842700","https://openalex.org/W4297775537","https://openalex.org/W6674914833","https://openalex.org/W6677995690","https://openalex.org/W6737664043","https://openalex.org/W6746904271","https://openalex.org/W6757040593","https://openalex.org/W6770346502","https://openalex.org/W6800563444"],"related_works":["https://openalex.org/W2347597433","https://openalex.org/W2389023277","https://openalex.org/W2562411628","https://openalex.org/W3034772098","https://openalex.org/W2100563491","https://openalex.org/W2124672917","https://openalex.org/W4289821489","https://openalex.org/W4297820790","https://openalex.org/W2333025614","https://openalex.org/W2388211622"],"abstract_inverted_index":{"Hardware":[0],"acceleration":[1],"is":[2],"very":[3],"important":[4],"in":[5,26],"the":[6,30,39,52,56,69,87],"proliferation":[7],"of":[8,33,86,89,91],"Deep":[9],"Neural":[10],"Network":[11],"(DNN)":[12],"technologies.":[13],"The":[14],"Single":[15],"Input":[16],"Partial":[17],"Product":[18],"2-D":[19],"(SIPP2D)<sup":[20],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[21],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[22],"convolution-based":[23,34],"architecture":[24],"introduced":[25],"[1],":[27],"[2]":[28],"implements":[29],"convolution":[31],"operation":[32],"DNNs":[35],"efficiently":[36],"by":[37],"reading":[38],"input":[40,78,93],"pixels":[41,98],"once":[42],"and":[43,79,95,102],"maximizing":[44],"their":[45],"reuse.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"describe":[51,68],"methodology":[53],"to":[54,63],"extend":[55],"DNN":[57],"accelerator":[58],"based":[59],"on":[60],"SIPP2D-based":[61],"architectures":[62],"incorporate":[64],"multiple":[65,100],"strides.":[66],"We":[67,82],"algorithm":[70],"for":[71,99],"any":[72,76],"allowable":[73],"stride,":[74],"given":[75],"(square)":[77],"kernel":[80],"sizes.":[81],"present":[83],"an":[84],"analysis":[85],"frequency":[88],"reuse":[90],"each":[92],"pixel":[94],"its":[96,106],"complementary":[97],"strides":[101],"as":[103,105],"well":[104],"theoretical":[107],"performance.":[108]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
